Selected Papers
Dong-Hyun Lee, Sunglok Choi, and Ki-In Na, "ASAP: Agile and Safe Pursuit for Local Planning of Autonomous Mobile Robots", IEEE Access, vol. 12, pp. 99600-99613, 2024. (IF 3.4 / JCR 34.4% Q2 2023)
[Paper]
Ki-In Na and Byungjae Park, "Real-time 3D Multi-pedestrian Detection and Tracking Using 3D LiDAR Point Cloud for Mobile Robot", ETRI Journal, vol. 45, issue 5, pp. 836-846, 2023. (IF 1.4 / JCR Q4 2022)
[Paper]
Soohwan Song, Ki-In Na, and Wonpil Yu, "Anytime Lifelong Multi-Agent Pathfinding in Topological Maps", IEEE Access, vol. 11, pp. 20365-20380, 2023. (IF 3.9 / JCR 36.2% Q2 2022)
[Paper]
Ki-In Na, Sunglok Choi, and Jong-Hwan Kim, "Adaptive Target Tracking with Interacting Heterogeneous Motion Models", IEEE Trans. on Intelligent Transportation System, vol. 23 issue 11, pp. 21301-21313, 2022. (IF 8.5 / JCR 2.5% Q1 2022)
[Paper]
Ki-In Na, Byungjae Park, Jong-Hwan Kim, "SPriorSeg: Fast Road-Object Segmentation using Deep Semantic Prior for Sparse 3D Point Clouds", IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2020, pp. 3928-3933.
[Paper]
[9] Giseong Kwon, Jungwook Lee, Chibeom Lee, Ki-In Na, “Occlusion-Aware 3D Visuomotor Policy via Dynamic Multi-View Integration and Spatio-Temporal Point Cloud Memory,” International Journal of Precision Engineering and Manufacturing, 2026, Accepted. (IF 3.9 / JCR 23.6% Q1 2025)
[8] Youngseo Cho, Changhyeon Lee, Heejae Park, SangWook Lee, Ki-In Na, Younghak Cho, "Brightness-Enhanced Microfluidic Platform with Deep Learning Cross-Validation for Reliable Micro-Particle Encapsulation Detection," Engineering Applications of Artificial Intelligence, vol. 181, 115564, 2026. (IF 9.0 / JCR 3.1% Q1 2025)[Paper]
[7] Dong-Hyun Lee, Sunglok Choi, Ki-In Na, “ASAP: Agile and Safe Pursuit for Local Planning of Autonomous Mobile Robots,” IEEE Access, vol. 12, pp. 99600-99613, 2024. (IF 3.4 / JCR 34.4% Q2 2023)
[6] Kiwon Kim, Sungeun Choi, Jeonghwa Seo, Ki-In Na, Shin Hyung Rhee, and Dong-Hwan Kim. "Validation of 4DOF Maneuvering Coefficients Optimization Using Hydrodynamic Force and Moment Estimated from Free-running Model Test Results." International Journal of Naval Architecture and Ocean Engineering, pp. 100599, 2024. (IF 2.3 / JCR 30% Q2 2023)
[5] Ki-In Na, and Byungjae Park, “Real‐time 3D Multi‐pedestrian Detection and Tracking Using 3D LiDAR Point Cloud for Mobile Robot,” ETRI Journal, vol. 45, issue 5, pp. 836-846, 2023. (IF 1.4 / JCR Q4 2022)
[4] Ki-In Na, Ue-Hwan Kim, and Jong-Hwan Kim, “SPU-BERT: Faster Human Multi-Trajectory Prediction from Socio-Physical Understanding of BERT,” Knowledge-Based Systems, vol. 274, pp. 110637, 2023. (IF 8.8 / JCR 12.8% Q1 2022)
[3] Soohwan Song, Ki-In Na, Wonpil Yu, “Anytime Lifelong Multi-Agent Pathfinding in Topological Maps,” IEEE Access, vol. 11, pp. 20365-20380, 2023. (IF 3.9 / JCR 36.2% Q2 2022)
[2] Ki-In Na, Sunglok Choi, and Jong-Hwan Kim, “Adaptive Target Tracking with Interacting Heterogeneous Motion Models,” IEEE Trans. on Intelligent Transportation System, vol. 23 issue 11, pp. 21301-21313, 2022. (IF 8.5 / JCR 2.5% Q1 2022)
[1] Hochul Shin, Ki-In Na, Jiho Chang, and Taeyoung Um, “Multimodal Layer Surveillance Map Based Anomaly Detection Using Multi-Agents for Smart City Security,” ETRI Journal, vol. 44, issue 2, pp. 183-193, 2022. (IF 1.4 / JCR Q4 2022)
[19] Soohwan Song, Ki-In Na, Wonpil Yu, "Corridor Occupancy-Based Multi-Agent Pathfinding in Topological Maps," International Conference on Information and Communication Technology Convergence (ICTC), pp. 181-183, 2022. [Paper]
[18] Ho-Chul Shin, Ki-in Na, "Abnormal Situation Detection using Global Surveillance Map," International Conference on Information and Communication Technology Convergence (ICTC), pp. 769-772, 2021. [Paper]
[17] Ho-chul Shin, Kiin Na, "Anomaly Detection using Elevation and Thermal Map for Security Robot, " International Conference on Information and Communication Technology Convergence (ICTC), pp. 1760-1762, 2020. [Paper]
[16] HC Shin, Jiho Chang, Kiin Na, "Anomaly Detection Algorithm Based on Global Object Map for Video Surveillance System," International Conference on Control, Automation and Systems (ICCAS), pp. 793-795, 2020. [Paper]
[15] Ki-In Na, Byungjae Park, Jong-Hwan Kim, "SPriorSeg: Fast Road-Object Segmentation using Deep Semantic Prior for Sparse 3D Point Clouds," IEEE International Conference on Systems, Man, and Cybernetics (SMC), Oct. 2020, pp. 3928-3933.
[14] Ki-In Na and Beomsu Seo, “Drivable Space Expansion from the Ground Base for Complex Structured Roads,” IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2016, pp. 373-378.
[13] Byungjae Park, Ki-In Na, Jaemin Byun, and Woo Young Han, “Local Motion Planning using Closed-Loop Forward Simulation for Autonomous Vehicle,” IEEE International Conference on Systems, Man, and Cybernetics, Oct. 2016, pp. 1988-1993.
[12] Ki-In Na, Jaemin Byun, Myungchan Roh, and Beomsu Seo, "RoadPlot-DATMO: Moving Object Tracking and Track Fusion System using Multiple Sensors," International Conference on Connected Vehicles and Expo (ICCVE), Oct. 2015, pp. 142-143. [PDF]
[11] Ki-In Na, Jaemin Byun, Myungchan Roh, and Beomsu Seo, "Measurement Fusion of Multiple 2D LiDARs and RADAR For Outdoor Object Tracking," International Conference on Connected Vehicles and Expo (ICCVE), Nov. 2014, pp. 1058-1059.
[10] Jaemin Byun, Ki-In Na, Beomsu Seo, and Myungchan Roh, “Drivable Road Detection with 3D Point Clouds based on the MRF for Intelligent Vehicle,” International Conference on Field and Service Robots, Dec. 2013, pp. 1-13.
[9] Ki-In Na, Jaemin Byun, Myungchan Roh, and Beomsu Seo, "The Ground Segmentation of 3D LIDAR Point Cloud with the Optimized Region Merging," International Conference on Connected Vehicles and Expo (ICCVE), Dec. 2013, pp. 445-450. [PDF]
[8] Ki-In Na, Jaemin Byun, Myungchan Roh, and Beomsu Seo, "Distance based Neighbor Correlation for the Segmentation," International Conference on Ubiquitous Robots and Ambient Intelligent (URAI), Oct. 2013, pp. 211-214. [PDF]
[7] Jaemin Byun, Myungchan Roh, Ki-In Na, Joo Chan Sohn, and Sunghoon Kim, "Navigation and Localization for Autonomous Vehicle at Road Intersections with Low-Cost Sensors," Intelligent Robotics and Applications, Jan. 2012, pp. 577-587. [PDF]
[6] Jaemin Byun, Ki-In Na, Myungchan Roh, Joo Chan Sohn, and Sunghoon Kim, "ESTRO: Design and Development of Intelligent Autonomous Vehicle for Shuttle Service in the ETRI," Workshop Planning Perception Navigation Intelligent Vehicle," Dec. 2012. [PDF]
[5] Ki-In Na, Jaemin Byun, Myungchan Roh, and Sunghoon Kim, "Developing Autonomous Vehicle System based on OPRoS Components for ESTRO," International Conference on Computers, Networks, Systems, and Industrial Applications (CNSI), Jul. 2012, pp. 204-209. [PDF]
[4] Ki-In Na, In-Bae Jeong, Seungbeom Han, and Jong-Hwan Kim, “Target Following with a Vision Sway Compensation for Robotic Fish Fibo,” IEEE International Conference on Robotics and Biomimetics, Dec. 2011, pp. 2114-2119.
[3] In-Bae Jeong, Chang-Soo Park, Ki-In Na, Seungbeom Han, and Jong-Hwan Kim, "Particle Swarm Optimization-based Central Patter Generator for Robotic Fish Locomotion," IEEE Congress on Evolutionary Computation (CEC), Jun. 2011, pp. 152-157. [PDF]
[2] Ki-In Na, Chang-Soo Park, In-Bae Jeong, Seungbeom Han, and Jong-Hwan Kim “Locomotion Generator for Robotic Fish Using an Evolutionary Optimized Central Pattern Generator,” IEEE International Conference on Robotics and Biomimetics, Dec. 2010, pp. 1069-1074.
[1] Dong-Hyun Lee, Ki-In Na, and Jong-Hwan Kim, "Task and Role Selection Strategy for Multi-Robot Cooperation in Robot Soccer," Trends in Intelligent Robotics, Jan. 2010, pp. 170-177. [PDF]
[2] Jaehyeon Park, Junghwan Lee, Ki-In Na, Chibum Lee, "Self-supervised Traversability Estimation in Off-road Environments Using Geometric Superpixels and Semantic Features," Journal of Institute of Control, Robotics and Systems, vol. 32, no, 6, pp. 743-752. [Paper]
[1] Kiwon Kim, Hoyong Kim, Sungeun Choi, Ki-In Na, Hyuk Lee, and Jeonghwa Seo. "Development of ship dynamics model by free-running model tests and regression." Journal of the Society of Naval Architects of Korea, vol. 59, no. 3, pp. 173-182, 2022. [Paper]
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